Introduction and details

‘Data for Children Collaborative,’ together with UNICEF, is launching a project to predict children’s vulnerability all over the world. So, leveraging current work undertaken by UNICEF to build a Climate Change Vulnerability Index (CCVI) using past and current data to assess climate hazards, child welfare, and macro resilience, it aims to foresee where children are going to be most vulnerable to the effect of climate change.

Likewise, the goal of this project to provide UNICEF with the information necessary to design their climate change response and resilience investments to best coordinate and serve the most vulnerable children now and in the future.

CHALLENGE QUESTION: Where are children most vulnerable to the impact of climate change, both now and in the future?

Quick details

Submission deadline: 15 Dec 2020

Collaboration workshop to take place: the week commencing January 11^th, 2021

Project estimated start date: 1 March 2021

Expected duration of such a project: 12 months

Project funder: Data for Children Collaborative with UNICEF

Grant/funding available

The Data for Children Collaborative can provide the project partners with a portion of up to £180,000. The grant available to individual organizations will be contingent on the agreed contribution to the project once the collaboration has been established and the delivery plan accepted.

The expected output of the project

The outcome this project is expected to generate is a lasting, user-friendly tool that provides a geo-spatial analysis of estimated climate change impacts on vulnerable children to a sub-national level and also maps demographics through disaggregated data.

Eligibility criteria

• Applications from all sectors (private/public/third/academia) are welcome.
• The funding organization appreciates submissions from any team looking to do any in-kind Data for Good work to further their expertise.
• Teams by congregating suitable applicants from those that have expressed an interest in answering the challenge question and acting on any insight or development from the project can apply.

Further conditions

• Academic partners will receive 80% of their FEC.
• If applicable, it encourages private sector partners to allocate time pro-bono. First, it provides funding at 70% of total contribution with a 30% match funded according to the accomplished tasks.

Skillsets required to meet this challenge and accomplish the project

In addition to some other necessary skills, below are the skills required to meet the challenge as the skills will be considered in forming the collaboration.

1. Machine Learning, Predictive Analytics, Data Engineering

The team will use these skills and the data to predict how CCVI will change in the future by analyzing the data at various levels.

2. Geospatial Data Architecture

The collaborative team will have to evaluate and predict changes to the CCVI at both national and disaggregated sub-national levels.

3. Climate Change Modelling, Demographic Modelling

The collaborative team will need contextual knowledge of data and models currently applied to explore climate change and the following impacts this will have on environmental dangers and populations in a wider context globally and sub-nationally.

How to join this call for collaboration?

Interested individuals and organizations who are good collaborators can express their interest and join through the link below.

Join by clicking here.

Read the full challenge description here.